Zobrazeno 1 - 10
of 38
pro vyhledávání: '"Alexander R. de Leon"'
Autor:
Ghosh, Kaushik
Publikováno v:
Journal of the American Statistical Association, 2014 Jun 01. 109(506), 865-866.
Externí odkaz:
https://www.jstor.org/stable/24247209
Autor:
Zhigang Li
Publikováno v:
Journal of Biopharmaceutical Statistics. 24:1130-1131
It has been challenging to develop statistical methods for analyzing mixed types of data due to the complex nature of the joint multivariate distribution of such data. This book by de Leon and Carr...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::60e700dd2f716d5a0776d6cfc56e4dad
https://doi.org/10.1080/10543406.2014.931754
https://doi.org/10.1080/10543406.2014.931754
Publikováno v:
Statistics in Medicine. 42:1909-1930
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::31c13e1a6b24a05a08de70efeac56a8d
https://doi.org/10.1002/sim.9704
https://doi.org/10.1002/sim.9704
Autor:
Danny Lu, Aalim Weljie, Alexander R. de Leon, Yarrow McConnell, Oliver F. Bathe, Karen Kopciuk
Publikováno v:
BMC Research Notes, Vol 10, Iss 1, Pp 1-10 (2017)
Abstract Background Variable selection is frequently carried out during the analysis of many types of high-dimensional data, including those in metabolomics. This study compared the predictive performance of four variable selection methods using stab
Externí odkaz:
https://doaj.org/article/3f7a104ab7374f5fa3141dc5f82e662b
Autor:
Mahmoud Torabi, Alexander R. de Leon
Publikováno v:
Journal of the Iranian Statistical Society. 20:347-370
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7a9ab8d6f8b2b125063061472fca67a2
https://doi.org/10.52547/jirss.20.1.347
https://doi.org/10.52547/jirss.20.1.347
Autor:
Hua Shen, Alexander R. de Leon
Publikováno v:
Statistics in Biopharmaceutical Research. 14:368-379
Identification of underlying subpopulations to account for unobserved heterogeneity in the population is a challenging statistical problem, mainly because no explicit information about the latent c...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a99b9dcc654937966360acbf3a646f6a
https://doi.org/10.1080/19466315.2020.1863257
https://doi.org/10.1080/19466315.2020.1863257
Autor:
Yamuni Perera, Christopher J. Rudnisky, Joyce Raymond B. Punzalan, Mingchen Ren, Alexander R. de Leon
Publikováno v:
Statistics in Medicine. 36:1754-1766
We introduce new binocular accuracy measures as alternatives to conventional marginal measures that can be used to evaluate screening tests in diagnostic studies involving paired organs (e.g. eyes and ears). Specifically, we consider screening studie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cc62c74e49558f5e308d7c86258dd5da
https://doi.org/10.1002/sim.7251
https://doi.org/10.1002/sim.7251
Publikováno v:
Analysis of Mixed Data: Methods & Applications
Analysis of mixed data: An overview Alexander R. de Leon and Keumhee Carriere Chough Introduction Early developments in mixed data analysis Joint analysis of mixed outcomes Highlights of book Combining univariate and multivariate random forests for e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d2beb247433090266166de83331ebe94
https://doi.org/10.1201/b14571
https://doi.org/10.1201/b14571
Autor:
Alexander R. de Leon, Beilei Wu
Publikováno v:
Journal of Agricultural, Biological, and Environmental Statistics. 19:39-56
This paper is concerned with the analysis of clustered data from developmental toxicity studies with mixed responses, i.e., where each member of the cluster has binary and continuous outcomes. A copula-based random effects model is proposed that acco
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0a7d0c8d9a24810f0d90d6368c6bb21a
https://doi.org/10.1007/s13253-013-0155-9
https://doi.org/10.1007/s13253-013-0155-9
Autor:
Alexander R. de Leon, Beilei Wu
Publikováno v:
Biometrical Journal. 55:807-812
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b8aea63ce5725ae6220146e045fe2362
https://doi.org/10.1002/bimj.201200254
https://doi.org/10.1002/bimj.201200254